Triple

T15742748
Position Surface form Disambiguated ID Type / Status
Subject Umana Yana E381639 entity
Predicate architecturalStyle P607 FINISHED
Object benab
A benab is a traditional Indigenous Guyanese thatched hut, typically made from palm leaves and wooden poles and used as a communal meeting or dwelling space.
 E1174228 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: benab | Statement: [Umana Yana, architecturalStyle, benab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: benab
Context triple: [Umana Yana, architecturalStyle, benab]
  • A. bern
    Bern is the de facto capital city of Switzerland, known for its well-preserved medieval old town and status as the country's political center.
  • B. BEN
    BEN is the three-letter IATA airport code assigned to Benina International Airport serving Benghazi, Libya.
  • C. BAB
    BAB is the IATA airport code for Beale Air Force Base, a major United States Air Force installation in California.
  • D. BEB
    BEB is the IATA airport code for Benbecula Airport, which serves the island of Benbecula in Scotland’s Outer Hebrides.
  • E. BENAM
    BENAM is the UN/LOCODE designation used in international trade and transport to identify the city of Namur in Belgium.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: benab
Triple: [Umana Yana, architecturalStyle, benab]
Generated description
A benab is a traditional Indigenous Guyanese thatched hut, typically made from palm leaves and wooden poles and used as a communal meeting or dwelling space.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: benab
Target entity description: A benab is a traditional Indigenous Guyanese thatched hut, typically made from palm leaves and wooden poles and used as a communal meeting or dwelling space.
  • A. bern
    Bern is the de facto capital city of Switzerland, known for its well-preserved medieval old town and status as the country's political center.
  • B. BEN
    BEN is the three-letter IATA airport code assigned to Benina International Airport serving Benghazi, Libya.
  • C. BAB
    BAB is the IATA airport code for Beale Air Force Base, a major United States Air Force installation in California.
  • D. BEB
    BEB is the IATA airport code for Benbecula Airport, which serves the island of Benbecula in Scotland’s Outer Hebrides.
  • E. BENAM
    BENAM is the UN/LOCODE designation used in international trade and transport to identify the city of Namur in Belgium.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff83056aa0819098b757ed125e61fe completed May 9, 2026, 6:55 p.m.
NEDg Description generation batch_69ff83ca33d08190816130bf2ea735df completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.